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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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The RAIN scale: A good intention that falls short
Radiation protection specialists agree that clear communication of radiation risks remains a vexing challenge that cannot be solved solely by finding new ways to convey technical information.
Earlier this year, an article in Nuclear News described a new radiation risk communication tool, known as the Radiation Index, or, RAIN (“Let it RAIN: A new approach to radiation communication,” NN, Jan. 2025, p. 36). The authors of the article created the RAIN scale to improve radiation risk communication to the general public who are not well-versed in important aspects of radiation exposures, including radiation dose quantities, units, and values; associated health consequences; and the benefits derived from radiation exposures.
M. R. Mendelson
Nuclear Science and Engineering | Volume 32 | Number 3 | June 1968 | Pages 319-331
Technical Paper | doi.org/10.13182/NSE68-A20214
Articles are hosted by Taylor and Francis Online.
The feasibility of using Monte Carlo methods to compute the criticality of thermal reactors is investigated by analyzing three simple critical assemblies with the 05R Monte Carlo neutron transport code. Results indicate that a precision of 0.5 to 0.8% in the eigenvalue is obtainable for these cores in less than one hour on the CDC-6600 computer. Further time reductions are foreseeable pending refinements in the operating system and more effective utilization of variance-reduction techniques. Several aspects of problem strategy and variance estimation are examined, leading to increased understanding of criticality estimators and correlation of data.